code-cleanup

Simplify verified code by removing duplication and dead code without altering behavior.

Updated Jun 18, 2026

Search Tags:#software engineering #code review #refactoring #verification #simplification #code cleanup

Ready to run

npx skills add https://github.com/MinhDuyDEV/mdpi --skill code-cleanup-minhduydev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-cleanup
Source: https://github.com/MinhDuyDEV/mdpi/tree/main/.pi/skills/code-cleanup
Command: npx skills add https://github.com/MinhDuyDEV/mdpi --skill code-cleanup-minhduydev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers reduce messy, repetitive, over-complicated code after functionality is already verified, preventing unnecessary refactors and keeping changes safe.

Core Features & Use Cases

Behavior-Preserving Simplification: Guides cleanup of duplication, dead code, awkward naming, unnecessary complexity, and AI-generated clutter while maintaining existing behavior.
Verification-First Workflow: Encourages locking behavior with tests or checks before making incremental cleanup changes and rerunning verification afterward.
Use Case: A developer finishing a feature can use this Skill to review the diff, remove redundant logic, simplify structure, and prepare the code for review without expanding scope.

Quick Start

Use the code-cleanup skill to simplify my completed feature changes while preserving behavior and verifying the result.

Frequently Asked Questions about code-cleanup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I simplify code without changing behavior after finishing a feature?▼

To simplify code without changing behavior, you must first lock functionality with tests, then incrementally remove duplication, dead code, and unnecessary complexity while rerunning verification to ensure existing APIs remain intact.

What is the best way to clean up AI-generated code noise safely?▼

Cleaning up AI-generated code noise safely requires a verification-first workflow: lock existing behavior with tests, apply incremental edits to remove redundant logic, and rerun checks to confirm the original behavior is preserved.

How do I prepare my code changes for a review without expanding scope?▼

Preparing code for review without expanding scope involves reviewing the diff to remove unnecessary complexity and awkward naming, ensuring edits are strictly cleanup-focused and do not alter the verified behavior or existing tests.

When should I perform code cleanup during software maintenance?▼

Code cleanup should be performed post-feature completion after functionality is verified, specifically to reduce messy, repetitive, over-complicated code and prevent unnecessary refactors while keeping changes safe.

Can I remove dead code and duplication without breaking existing tests?▼

Yes, you can remove dead code and duplication without breaking tests by applying incremental edits and rerunning behavior verification after each change to ensure the simplification does not alter the expected outputs.